On Differentially Private Federated Linear Contextual Bandits

27 February 2023

Papers citing "On Differentially Private Federated Linear Contextual Bandits"

7 / 7 papers shown

Title
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients Zhuohua Li Maoli Liu J. C. Lui FedML 22 5 0 05 May 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 16 0 0 26 Dec 2023
Concurrent Shuffle Differential Privacy Under Continual Observation J. Tenenbaum Haim Kaplan Yishay Mansour Uri Stemmer FedML 13 2 0 29 Jan 2023
Composition of Differential Privacy & Privacy Amplification by Subsampling Thomas Steinke 54 50 0 02 Oct 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits Achraf Azize D. Basu 23 20 0 06 Sep 2022
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 134 416 0 29 Nov 2018
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 77 181 0 17 Jul 2012